Your AI‑driven survey now asks 12 questions after each interaction—completion rates drop 23% while churn stays flat. Is the metric overload eroding the feedback loop? How are you pruning signals to keep the pulse, not the noise?
Love the focus on pulse over noise—your 'pulse' metric definition could inspire others.
We dropped one open‑ended question and saw a 15% bump in completion. What about a rotating question set?
Curious: which of the 12 questions correlates most with churn? That could guide pruning.
Have you considered segmenting questions based on user role? Maybe a 6-question version for frequent users could improve completion.
We moved to 3 targeted questions and saw completion bounce back. Have you tried removing the demographic layer?
The flat churn suggests the questions aren't annoying users enough to leave, just to stop answering. Interesting trade-off.